Live X-Ray imaging (LiveX)

实时 X 射线成像 (LiveX)

• 批准号: EP/W024829/1
• 负责人: Enzo Liotti
• 金额: $ 120.13万
• 依托单位: University of Oxford
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FW024829%2F1
• 关键词: Live; Ray; imaging; LiveX

X-ray imaging techniques are a powerful tool to study the dynamic of metal solidification phenomena, however current analytical tools suffer of two main drawbacks. Firstly, these techniques are currently available only at synchrotrons, which have restricted access. Secondly, the vast and complex data sets generated during time-resolved experiments present profound technical and practical problems for quantification and the extraction of scientific knowledge. We propose a project to develop an X-ray multi-modal imaging system (LiveX) in which ML will be embedded in the data acquisition procedure and used to interpret raw data in real-time, as they are collected, drastically reducing the complexity and time required for data analysis. The system will be designed to be integrated in existing laboratory X-ray sources and to accept any ML algorithm. Our primary goal will be to develop LiveX as a flexible tool to investigate metal solidification both in a laboratory environment, to carry on fundamental studies without the need of a synchrotron, and for process development in industry. To this end the set up will be coupled with a high temperature furnace and an ML algorithm trained for the investigation of nucleation and growth phenomena during the solidification of aluminium alloys. The instrument will be a world first, providing a unique capability which will foster the establishment of new collaborations and facilitate industrially led research, for which access to synchrotron time is generally difficult. This will benefit our ongoing research on aluminium recycling; the flexibility of the approach will also allow its use in other fields and this will be sought as part of the program.

X射线成像技术是研究金属凝固现象动态的有力工具，然而当前的分析工具遭受两个主要缺点。首先，这些技术目前仅在同步加速器中可用，其具有受限的访问。其次，在时间分辨实验中产生的大量复杂数据集给科学知识的量化和提取带来了深刻的技术和实际问题。我们提出了一个开发X射线多模态成像系统（LiveX）的项目，其中ML将嵌入到数据采集过程中，并用于实时解释原始数据，因为它们被收集，大大降低了数据分析所需的复杂性和时间。该系统将被设计为集成在现有的实验室X射线源，并接受任何ML算法。我们的主要目标是将LiveX开发为一种灵活的工具，用于在实验室环境中研究金属凝固，在不需要同步加速器的情况下进行基础研究，并用于工业过程开发。为此，该装置将与高温炉和ML算法相结合，用于研究铝合金凝固过程中的成核和生长现象。该仪器将是世界上第一台，提供独特的能力，将促进建立新的合作关系，并促进工业主导的研究，因为获得同步加速器时间通常很困难。这将有利于我们正在进行的铝回收研究;该方法的灵活性也将允许其在其他领域的使用，这将作为该计划的一部分。

项目成果

Correlative full field X-ray Compton scattering imaging and X-ray computed tomography for in situ observation of Li ion batteries

• DOI: 10.1016/j.mtener.2022.101224
• 发表时间: 2022-12
• 期刊: Materials Today Energy
• 影响因子: 9.3
• 作者: Chu Lun Alex Leung;M. Wilson;T. Connolley;S. Collins;O. Magdysyuk;Matthieu Boone;Kosuke Suzuki;M. Veale;E. Liotti;F. Van Assche;A. Lui;Chun Huang

X-ray Imaging of Alloy Solidification: Crystal Formation, Growth, Instability and Defects.

• DOI: 10.3390/ma15041319
• 发表时间: 2022-02-10
• 期刊: Materials (Basel, Switzerland)
• 作者: Feng S;Liotti E;Grant PS
• 通讯作者: Grant PS

Revealing hot tear formation dynamics in Al-Cu alloys with X-ray radiography

通过 X 射线照相揭示 Al-Cu 合金中的热撕裂形成动力学

• DOI: 10.1016/j.actamat.2023.119421
• 发表时间: 2024
• 期刊: Acta Materialia
• 影响因子: 9.4
• 作者: Han I

The mechanism of Fe-rich intermetallic compound formation and growth on inoculants revealed by electron backscattered diffraction and X-ray imaging

• DOI: 10.1016/j.matdes.2023.112110
• 发表时间: 2023-08
• 期刊: Materials & Design
• 作者: S. Feng;Zelong Jin;W. Du;Insung Han;A. Lui;Xiaoping Zhou;P. Shearing;P. Grant;E. Liotti

Tracking the evolution of hot tears in aluminium alloys using high-speed X-ray imaging

使用高速 X 射线成像跟踪铝合金中热撕裂的演变

• DOI: 10.1088/1757-899x/1281/1/012065
• 发表时间: 2023
• 期刊: Materials Science and Engineering
• 作者: Han I